MyHealthAvatar and CARRE: case studies of interactive visualisation for Internet-enabled sensor-assisted health monitoring and risk analysis

2.50
Hdl Handle:
http://hdl.handle.net/10547/623063
Title:
MyHealthAvatar and CARRE: case studies of interactive visualisation for Internet-enabled sensor-assisted health monitoring and risk analysis
Authors:
Zhao, Youbing ( 0000-0003-3677-6583 ) ; Parvinzamir, Farzad; Deng, Zhikun; Wei, Hui; Zhao, Xia; Liu, Enjie ( 0000-0003-4617-595X ) ; Dong, Feng; Clapworthy, Gordon J.; Lukoševičius, Arūnas; Marozas, Vaidotas; Kaldoudi, Eleni
Abstract:
With the progress of wearable sensor technologies, more wearable health sensors have been made available on the market, which enables not only people to monitor their health and lifestyle in a continuous way but also doctors to utilise them to make better diagnoses. Continuous measurement from a variety of wearable sensors implies that a huge amount of data needs to be collected, stored, processed and presented, which cannot be achieved by traditional data processing methods. Visualisation is designed to promote knowledge discovery and utilisation via mature visual paradigms with well-designed user interactions and has become indispensable in data analysis. In this paper we introduce the role of visualisation in wearable sensor-assisted health analysis platforms by case studies of two projects funded by the European Commission: MyHealthAvatar and CARRE. The former focuses on health sensor data collection and lifestyle tracking while the latter aims to provide innovative means for the management of cardiorenal diseases with the assistance of wearable sensors. The roles of visualisation components including timeline, parallel coordinates, map, node-link diagrams, Sankey diagrams, etc. are introduced and discussed.
Affiliation:
University of Bedfordshire; Kaunas University of Technology; Democritus University of Thrace Dragana
Citation:
Zhao Y, Parvinzamir F, Deng Z, Wei H, Zhao X, Liu E, Dong F, Clapworthy G, Lukoševičius A, Marozas M, Kaldoudi E (2016) 'MyHealthAvatar and CARRE: case studies of interactive visualisation for Internet-enabled sensor-assisted health monitoring and risk analysis', IET Networks, 5 (5), pp.114-121.
Publisher:
IET
Journal:
IET Networks
Issue Date:
13-Oct-2016
URI:
http://hdl.handle.net/10547/623063
DOI:
10.1049/iet-net.2015.0113
Additional Links:
https://ieeexplore.ieee.org/document/7587510
Type:
Article
Language:
en
ISSN:
2047-4954
EISSN:
2047-4962
Sponsors:
EU CARRE (FP7-ICT-611140) & MyHealthAvatar (FP7-ICT-2011-9)
Appears in Collections:
Computing

Full metadata record

DC FieldValue Language
dc.contributor.authorZhao, Youbingen
dc.contributor.authorParvinzamir, Farzaden
dc.contributor.authorDeng, Zhikunen
dc.contributor.authorWei, Huien
dc.contributor.authorZhao, Xiaen
dc.contributor.authorLiu, Enjieen
dc.contributor.authorDong, Fengen
dc.contributor.authorClapworthy, Gordon J.en
dc.contributor.authorLukoševičius, Arūnasen
dc.contributor.authorMarozas, Vaidotasen
dc.contributor.authorKaldoudi, Elenien
dc.date.accessioned2019-01-08T13:24:25Z-
dc.date.available2019-01-08T13:24:25Z-
dc.date.issued2016-10-13-
dc.identifier.citationZhao Y, Parvinzamir F, Deng Z, Wei H, Zhao X, Liu E, Dong F, Clapworthy G, Lukoševičius A, Marozas M, Kaldoudi E (2016) 'MyHealthAvatar and CARRE: case studies of interactive visualisation for Internet-enabled sensor-assisted health monitoring and risk analysis', IET Networks, 5 (5), pp.114-121.en
dc.identifier.issn2047-4954-
dc.identifier.doi10.1049/iet-net.2015.0113-
dc.identifier.urihttp://hdl.handle.net/10547/623063-
dc.description.abstractWith the progress of wearable sensor technologies, more wearable health sensors have been made available on the market, which enables not only people to monitor their health and lifestyle in a continuous way but also doctors to utilise them to make better diagnoses. Continuous measurement from a variety of wearable sensors implies that a huge amount of data needs to be collected, stored, processed and presented, which cannot be achieved by traditional data processing methods. Visualisation is designed to promote knowledge discovery and utilisation via mature visual paradigms with well-designed user interactions and has become indispensable in data analysis. In this paper we introduce the role of visualisation in wearable sensor-assisted health analysis platforms by case studies of two projects funded by the European Commission: MyHealthAvatar and CARRE. The former focuses on health sensor data collection and lifestyle tracking while the latter aims to provide innovative means for the management of cardiorenal diseases with the assistance of wearable sensors. The roles of visualisation components including timeline, parallel coordinates, map, node-link diagrams, Sankey diagrams, etc. are introduced and discussed.en
dc.description.sponsorshipEU CARRE (FP7-ICT-611140) & MyHealthAvatar (FP7-ICT-2011-9)en
dc.language.isoenen
dc.publisherIETen
dc.relation.urlhttps://ieeexplore.ieee.org/document/7587510en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectdata visualisationen
dc.subjecthealth monitoringen
dc.subjectB800 Medical Technologyen
dc.titleMyHealthAvatar and CARRE: case studies of interactive visualisation for Internet-enabled sensor-assisted health monitoring and risk analysisen
dc.typeArticleen
dc.identifier.eissn2047-4962-
dc.contributor.departmentUniversity of Bedfordshireen
dc.contributor.departmentKaunas University of Technologyen
dc.contributor.departmentDemocritus University of Thrace Draganaen
dc.identifier.journalIET Networksen
dc.date.updated2019-01-08T13:12:20Z-
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